Power calculations for optimisation of the experimental design to detect GxE: Salmon experiments in FutureEUAqua

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Omfang og effekt av innkryssing av rømt oppdrettslaks i norsk villaks. Kommentarer til kapittel 6 i VRL rapport 17, 2022

I denne rapporten kommenteres omfang av innkryssing av rømt oppdrettslaks i norsk villaks som er beskrevet i VRL rapport 17, 2022. Videre utleder forfatter hvordan innkryssing, målt med ulike metoder, er forventet å bli påvirket av tiltak for å forhindre rømming og gjenfangst av rømt fisk. Til slutt diskuteres ulike mål på genetisk endring. Genetisk endring i en populasjon som er utsatt for innkryssing av rømt oppdrettsfisk kan måles på DNA markør nivå, som endring i fiskens egenskaper, eller som endring i fiskens fitness eller grad av tilpasning til et liv i naturen. Sammenhengen mellom disse målene er ikke endelig og vil påvirkes av både ny innkryssing og av naturlig seleksjon.Omfang og effekt av innkryssing av rømt oppdrettslaks i norsk villaks. Kommentarer til kapittel 6 i VRL rapport 17, 2022publishedVersio

Random regression models for detection of gene by environment interaction

Two random regression models, where the effect of a putative QTL was regressed on an environmental gradient, are described. The first model estimates the correlation between intercept and slope of the random regression, while the other model restricts this correlation to 1 or -1, which is expected under a bi-allelic QTL model. The random regression models were compared to a model assuming no gene by environment interactions. The comparison was done with regards to the models ability to detect QTL, to position them accurately and to detect possible QTL by environment interactions. A simulation study based on a granddaughter design was conducted, and QTL were assumed, either by assigning an effect independent of the environment or as a linear function of a simulated environmental gradient. It was concluded that the random regression models were suitable for detection of QTL effects, in the presence and absence of interactions with environmental gradients. Fixing the correlation between intercept and slope of the random regression had a positive effect on power when the QTL effects re-ranked between environments

The Montana Kaimin, January 17, 1922

Student newspaper of the University of Montana, Missoula.https://scholarworks.umt.edu/studentnewspaper/1675/thumbnail.jp

Impact of vaccination and selective breeding on the transmission of Infectious salmon anemia virus

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Genetic (co)variance of rainbow trout (Oncorhynchus mykiss) body weight and its uniformity across production environments

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Applying genetic technologies to combat infectious diseases in aquaculture

Disease and parasitism cause major welfare, environmental and economic concerns for global aquaculture. In this review, we examine the status and potential of technologies that exploit genetic variation in host resistance to tackle this problem. We argue that there is an urgent need to improve understanding of the genetic mechanisms involved, leading to the development of tools that can be applied to boost host resistance and reduce the disease burden. We draw on two pressing global disease problems as case studies—sea lice infestations in salmonids and white spot syndrome in shrimp. We review how the latest genetic technologies can be capitalised upon to determine the mechanisms underlying inter- and intra-species variation in pathogen/parasite resistance, and how the derived knowledge could be applied to boost disease resistance using selective breeding, gene editing and/or with targeted feed treatments and vaccines. Gene editing brings novel opportunities, but also implementation and dissemination challenges, and necessitates new protocols to integrate the technology into aquaculture breeding programmes. There is also an ongoing need to minimise risks of disease agents evolving to overcome genetic improvements to host resistance, and insights from epidemiological and evolutionary models of pathogen infestation in wild and cultured host populations are explored. Ethical issues around the different approaches for achieving genetic resistance are discussed. Application of genetic technologies and approaches has potential to improve fundamental knowledge of mechanisms affecting genetic resistance and provide effective pathways for implementation that could lead to more resistant aquaculture stocks, transforming global aquaculture

Applying genetic technologies to combat infectious diseases in aquaculture

Disease and parasitism cause major welfare, environmental and economic concerns for global aquaculture. In this review, we examine the status and potential of technologies that exploit genetic variation in host resistance to tackle this problem. We argue that there is an urgent need to improve understanding of the genetic mechanisms involved, leading to the development of tools that can be applied to boost host resistance and reduce the disease burden. We draw on two pressing global disease problems as case studies—sea lice infestations in salmonids and white spot syndrome in shrimp. We review how the latest genetic technologies can be capitalised upon to determine the mechanisms underlying inter- and intra-species variation in pathogen/ parasite resistance, and how the derived knowledge could be applied to boost disease resistance using selective breeding, gene editing and/or with targeted feed treatments and vaccines. Gene editing brings novel opportunities, but also implementation and dissemination challenges, and necessitates new protocols to integrate the technology into aquaculture breeding programmes. There is also an ongoing need to minimise risks of disease agents evolving to overcome genetic improvements to host resistance, and insights from epidemiological and evolutionary models of pathogen infestation in wild and cultured host populations are explored. Ethical issues around the different approaches for achieving genetic resistance are discussed. Application of genetic technologies and approaches has potential to improve fundamental knowledge of mechanisms affecting genetic resistance and provide effective pathways for implementation that could lead to more resistant aquaculture stocks, transforming global aquaculture.publishedVersio

Strategies for implementing genomic selection for feed efficiency in dairy cattle breeding schemes

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Effect of hydrogen peroxide as treatment for amoebic gill disease in Atlantic salmon (Salmo salar L.) in different temperatures

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